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Fulltext Geospatial analysis of distribution of community pharmacies and other health care facilities providing minor ailments services in Malaysia

Tew MM, Hatah E, Arif F, Abdul Wahid MA, Makmor-Bakry M, Abdul Maulad KN

J Pharm Policy Pract, 2021 Feb 24;14(1):24.
PMID: 33627199 DOI: 10.1186/s40545-021-00308-9

BACKGROUND: Minor ailments are defined as common, self-limiting, or uncomplicated conditions that may be diagnosed and managed without a medical intervention. Previous studies reported that pharmacists were able to help patients self-manage minor ailments that led to a reduction of health care burden in other facilities. Nevertheless, public access to community pharmacy and other health care facilities offering services for minor ailments has not yet been explored in Malaysia. Hence, this study aims to determine population access to the above-mentioned services.
METHOD: According to the reported practice address in 2018, the spatial distribution of health care facilities was mapped and explored using the GIS mapping techniques. The density of health care facilities was analyzed using thematic maps with hot spot analysis. Population to facility ratio was calculated using the projection of the population growth based on 2010 census data, which was the latest available in the year of analysis.
RESULTS: The study included geographical mapping of 7051 general practitioner clinics (GPC), 3084 community pharmacies (CP), 139 public general hospitals (GHs) and 990 public primary health clinics (PHC). The health care facilities were found to be highly dense in urban areas than in the rural ones. There were six districts that had no CP, 2 had no GPC, and 11 did not have both. The overall ratio of GPC, CP, GH, and PHC to the population was 1:4228, 1:10,200, 1:223,619 and 1:31,397, respectively. Should the coverage for minor ailment services in public health care clinics be extended to community pharmacies, the ratio of facilities to population for each district would be better with 1:4000-8000.
CONCLUSIONS: The distribution of health care facilities for minor ailment management in Malaysia is relatively good. However, if the scheme for minor ailments were available to community pharmacies, then the patients' access to minor ailments services would be further improved.

Matched MeSH terms: Geographic Information Systems
Integrated technologies for solid waste bin monitoring system

Arebey M, Hannan MA, Basri H, Begum RA, Abdullah H

Environ Monit Assess, 2011 Jun;177(1-4):399-408.
PMID: 20703798 DOI: 10.1007/s10661-010-1642-x

The integration of communication technologies such as radio frequency identification (RFID), global positioning system (GPS), general packet radio system (GPRS), and geographic information system (GIS) with a camera are constructed for solid waste monitoring system. The aim is to improve the way of responding to customer's inquiry and emergency cases and estimate the solid waste amount without any involvement of the truck driver. The proposed system consists of RFID tag mounted on the bin, RFID reader as in truck, GPRS/GSM as web server, and GIS as map server, database server, and control server. The tracking devices mounted in the trucks collect location information in real time via the GPS. This information is transferred continuously through GPRS to a central database. The users are able to view the current location of each truck in the collection stage via a web-based application and thereby manage the fleet. The trucks positions and trash bin information are displayed on a digital map, which is made available by a map server. Thus, the solid waste of the bin and the truck are being monitored using the developed system.

Matched MeSH terms: Geographic Information Systems
Scenario-based pollution discharge simulations and mapping using integrated QUAL2K-GIS

Ahmad Kamal N, Muhammad NS, Abdullah J

Environ Pollut, 2020 Apr;259:113909.
PMID: 31927277 DOI: 10.1016/j.envpol.2020.113909

Malaysia is a tropical country that is highly dependent on surface water for its raw water supply. Unfortunately, surface water is vulnerable to pollution, especially in developed and dense urban catchments. Therefore, in this study, a methodology was developed for an extensive temporal water quality index (WQI) and classification analysis, simulations of various pollutant discharge scenarios using QUAL2K software, and maps with NH3-N as the core pollutant using an integrated QUAL2K-GIS. It was found that most of the water quality stations are categorized as Class III (slightly polluted to polluted). These stations are surrounded by residential areas, industries, workshops, restaurants and wet markets that contribute to the poor water quality levels. Additionally, low WQI values were reported in 2010 owing to development and agricultural activities. However, the WQI values improved during the wet season. High concentrations of NH3-N were found in the basin, especially during dry weather conditions. Three scenarios were simulated, i.e. 10%, 50% and 70% of pollution discharge into Skudai river using a calibrated and validated QUAL2K model. Model performance was evaluated using the relative percentage difference. An inclusive graph showing the current conditions and pollution reduction scenarios with respect to the distance of Skudai river and its tributaries is developed to determine the WQI classification. Comprehensive water quality maps based on NH3-N as the core pollutant are developed using integrated QUAL2K-GIS to illustrate the overall condition of the Skudai river. High NH3-N in the Skudai River affects water treatment plant operations. Pollution control of more than 90% is required to improve the water quality classification to Class II. The methodology and analysis developed in this study can assist various stakeholders and authorities in identifying problematic areas and determining the required percentage of pollution reduction to improve the Skudai River water quality.

Matched MeSH terms: Geographic Information Systems
Fulltext Online 3D terrain visualization of GIS data: a comparison between three different web servers

Ruzinoor Che Mat, Abdul Rashid Mohd. Shariff, Pradhan, Biswajeet, Ahmad Rodzi Mahmud

Pertanika Journal of Science & Technology, 2011;19(3):31-39.
MyJurnal

Geographical Information Systems (GIS) and three dimensional (3D) World Wide Web (WWW) applications usage are on the rise. The demand for online 3D terrain visualization for GIS data has increased. Current users demand for more complex data which have higher accuracy and realism. This is aided by the emergence of geo-browsers in the market which provide free service and also cater for the commercialized market. Other new technology driving the market is the use of software such as CityGML, Virtual Reality Markup Language (VRML)/ Entensive 3D (X3D), geoVRML, and Keyhole Markup Language (KML). These technologies also play an important role for this new era of online 3D terrain visualization. The aim of this paper is to implement the online 3D terrain visualization for GIS data by using VRML technology and launching the system into three different web servers. The data used for this system are contour data and high resolution satellite image (QUICKBIRD) for Universiti Putra Malaysia (UPM) area. Testing was done only for satellite image overlaid to 3D terrain data. The web servers used in this experiment were the Spatial Research Group Server in UPM, Universiti Utara Malaysia (UUM) web server, and ruzinoor.my web server. The comparison was based on the performance of web servers in terms of accessibility, uploading time, CPU usage, frame rate per second (fps), and number of users. The results from this experiment will be of help and guidance to the developers in finding the right web servers for the best performance on implementing online 3D terrain visualization for GIS data.

Matched MeSH terms: Geographic Information Systems
Fulltext A Multi-Sensor Comparative Analysis on the Suitability of Generated DEM from Sentinel-1 SAR Interferometry Using Statistical and Hydrological Models

Mohammadi A, Karimzadeh S, Jalal SJ, Kamran KV, Shahabi H, Homayouni S, et al.

Sensors (Basel), 2020 Dec 16;20(24).
PMID: 33339435 DOI: 10.3390/s20247214

Digital elevation model (DEM) plays a vital role in hydrological modelling and environmental studies. Many essential layers can be extracted from this land surface information, including slope, aspect, rivers, and curvature. Therefore, DEM quality and accuracy will affect the extracted features and the whole process of modeling. Despite freely available DEMs from various sources, many researchers generate this information for their areas from various observations. Sentinal-1 synthetic aperture radar (SAR) images are among the best Earth observations for DEM generation thanks to their availabilities, high-resolution, and C-band sensitivity to surface structure. This paper presents a comparative study, from a hydrological point of view, on the quality and reliability of the DEMs generated from Sentinel-1 data and DEMs from other sources such as AIRSAR, ALOS-PALSAR, TanDEM-X, and SRTM. To this end, pair of Sentinel-1 data were acquired and processed using the SAR interferometry technique to produce a DEM for two different study areas of a part of the Cameron Highlands, Pahang, Malaysia, a part of Sanandaj, Iran. Based on the estimated linear regression and standard errors, generating DEM from Sentinel-1 did not yield promising results. The river streams for all DEMs were extracted using geospatial analysis tool in a geographic information system (GIS) environment. The results indicated that because of the higher spatial resolution (compared to SRTM and TanDEM-X), more stream orders were delineated from AIRSAR and Sentinel-1 DEMs. Due to the shorter perpendicular baseline, the phase decorrelation in the created DEM resulted in a lot of noise. At the same time, results from ground control points (GCPs) showed that the created DEM from Sentinel-1 is not promising. Therefore, other DEMs' performance, such as 90-meters' TanDEM-X and 30-meters' SRTM, are better than Sentinel-1 DEM (with a better spatial resolution).

Matched MeSH terms: Geographic Information Systems
Fulltext Do Termitaria Indicate the Presence of Groundwater? A Case Study of Hydrogeophysical Investigation on a Land Parcel with Termite Activity

Ahmed JB, Salisu A, Pradhan B, Alamri AM

Insects, 2020 Oct 24;11(11).
PMID: 33114307 DOI: 10.3390/insects11110728

Termite nests have long been suggested to be good indicators of groundwater but only a few studies are available to demonstrate the relationship between the two. This study therefore aims at investigating the most favourable spots for locating groundwater structures on a small parcel of land with conspicuous termite activity. To achieve this, geophysical soundings using the renowned vertical electrical sounding (VES) technique was carried out on the gridded study area. A total of nine VESs with one at the foot of a termitarium were conducted. The VES results were interpreted and assessed via two different techniques: (1) physical evaluation as performed by drillers in the field and (2) integration of primary and secondary geoelectrical parameters in a geographic information system (GIS). The result of the physical evaluation indicated a clear case of subjectivity in the interpretation but was consistent with the choice of VES points 1 and 6 (termitarium location) as being the most prospective points to be considered for drilling. Similarly, the integration of the geoelectrical parameters led to the mapping of the most prospective groundwater portion of the study area with the termitarium chiefly in the center of the most suitable region. This shows that termitaria are valuable landscape features that can be employed as biomarkers in the search of groundwater.

Matched MeSH terms: Geographic Information Systems
Fulltext A novel vehicle stationary detection utilizing map matching and IMU sensors

Amin MS, Reaz MB, Nasir SS, Bhuiyan MA, Ali MA

ScientificWorldJournal, 2014;2014:597180.
PMID: 25276855 DOI: 10.1155/2014/597180

Precise navigation is a vital need for many modern vehicular applications. The global positioning system (GPS) cannot provide continuous navigation information in urban areas. The widely used inertial navigation system (INS) can provide full vehicle state at high rates. However, the accuracy diverges quickly in low cost microelectromechanical systems (MEMS) based INS due to bias, drift, noise, and other errors. These errors can be corrected in a stationary state. But detecting stationary state is a challenging task. A novel stationary state detection technique from the variation of acceleration, heading, and pitch and roll of an attitude heading reference system (AHRS) built from the inertial measurement unit (IMU) sensors is proposed. Besides, the map matching (MM) algorithm detects the intersections where the vehicle is likely to stop. Combining these two results, the stationary state is detected with a smaller timing window of 3 s. A longer timing window of 5 s is used when the stationary state is detected only from the AHRS. The experimental results show that the stationary state is correctly identified and the position error is reduced to 90% and outperforms previously reported work. The proposed algorithm would help to reduce INS errors and enhance the performance of the navigation system.

Matched MeSH terms: Geographic Information Systems/standards*
Assessment of environmental (226)Ra, (232)Th and (40)K concentrations in the region of elevated radiation background in Segamat District, Johor, Malaysia

Saleh MA, Ramli AT, Alajerami Y, Aliyu AS

J Environ Radioact, 2013 Oct;124:130-40.
PMID: 23727880 DOI: 10.1016/j.jenvrad.2013.04.013

Extensive environmental survey and measurements of gamma radioactivity in the soil samples collected from Segamat District were conducted. Two gamma detectors were used for the measurements of background radiation in the area and the results were used in the computation of the mean external radiation dose rate and mean weighted dose rate, which are 276 nGy h(-1) and 1.169 mSv y(-1), respectively. A high purity germanium (HPGe) detector was used in the assessment of activity concentrations of (232)Th, (226)Ra and (40)K. The results of the gamma spectrometry range from 11 ± 1 to 1210 ± 41 Bq kg(-1) for (232)Th, 12 ± 1 to 968 ± 27 Bq kg(-1) for (226)Ra, and 12 ± 2 to 2450 ± 86 Bq kg(-1) for (40)K. Gross alpha and gross beta activity concentrations range from 170 ± 50 to 4360 ± 170 Bq kg(-1) and 70 ± 20 to 4690 ± 90 Bq kg(-1), respectively. These results were used in the plotting of digital maps (using ARCGIS 9.3) for isodose. The results are compared with values giving in UNSCEAR 2000.

Matched MeSH terms: Geographic Information Systems
Fulltext Accessibility and utilization patterns of a mobile medical clinic among vulnerable populations

Gibson BA, Ghosh D, Morano JP, Altice FL

Health Place, 2014 Jul;28:153-66.
PMID: 24853039 DOI: 10.1016/j.healthplace.2014.04.008

We mapped mobile medical clinic (MMC) clients for spatial distribution of their self-reported locations and travel behaviors to better understand health-seeking and utilization patterns of medically vulnerable populations in Connecticut. Contrary to distance decay literature, we found that a small but significant proportion of clients was traveling substantial distances to receive repeat care at the MMC. Of 8404 total clients, 90.2% lived within 5 miles of a MMC site, yet mean utilization was highest (5.3 visits per client) among those living 11-20 miles of MMCs, primarily for those with substance use disorders. Of clients making >20 visits, 15.0% traveled >10 miles, suggesting that a significant minority of clients traveled to MMC sites because of their need-specific healthcare services, which are not only free but available at an acceptable and accommodating environment. The findings of this study contribute to the important research on healthcare utilization among vulnerable population by focusing on broader dimensions of accessibility in a setting where both mobile and fixed healthcare services coexist.

Matched MeSH terms: Geographic Information Systems
Fulltext Internet application for online cadastral services : a case study in Nigeria

Babalola Sunday Oyetayo, Abdul Rahman Alias, Tan, Liat Choon, Abidoye Ayodeji Iyanu, Anthony Olatunbosun

Journal of Advanced Research Design, 2017;36(1):1-12.
MyJurnal

The new innovative of technology by (GIS) Geographic Information System, (LIS) Land
Information System and (CIS) Cadastral Information System has been playing a leading
role in the development of cadastral and land administration in this study area. The
Customary ways and approach to the land titling and registration in the time past has
resulted in the delay in the processes of obtaining title to the land. Land administration
system in Nigeria includes the processes of land registration, cadastral mapping, land
valuation and land inventory. Most of developing nation particularly Nigeria is faced
with the problem of poor land administration and management. Technology is
paramount in acquiring a proper technological development in land administration.
This study tried to encourage land title registration by providing web technologies that
are faster and suitable with a low rate and minimum delay. The need to develop a
dynamic web for the processes in the land registration arises from the dynamic
relationship to the land of the people. The delay in time and process of land registration
couple with the exploitation in land related activities has called for the urgent
intervention of all the stakeholders in land administration. PHP programming language
was used as a server side scripting languages together with MyAdmin SQL, a website
was developed for the processes involved in the land registration having examined the
fastest way to solve the problem. A robust dynamic database that is reliable and easy
to use was also developed which is capable of accommodating several numbers of
applicants. The applicants, monitoring agency and the government have the advantage
of checking all the processes on line without any contact with the officers working on
the certificate.

Matched MeSH terms: Geographic Information Systems
An integrated assessment of seawater intrusion in a small tropical island using geophysical, geochemical, and geostatistical techniques

Kura NU, Ramli MF, Ibrahim S, Sulaiman WN, Aris AZ

Environ Sci Pollut Res Int, 2014;21(11):7047-64.
PMID: 24532282 DOI: 10.1007/s11356-014-2598-0

In this study, geophysics, geochemistry, and geostatistical techniques were integrated to assess seawater intrusion in Kapas Island due to its geological complexity and multiple contamination sources. Five resistivity profiles were measured using an electric resistivity technique. The results reveal very low resistivity <1 Ωm, suggesting either marine clay deposit or seawater intrusion or both along the majority of the resistivity images. As a result, geochemistry was further employed to verify the resistivity evidence. The Chadha and Stiff diagrams classify the island groundwater into Ca-HCO3, Ca-Na-HCO3, Na-HCO3, and Na-Cl water types, with Ca-HCO3 as the dominant. The Mg(2+)/Mg(2+)+Ca(2+), HCO3 (-)/anion, Cl(-)/HCO3 (-), Na(+)/Cl(-), and SO4 (2-)/Cl(-) ratios show that some sampling sites are affected by seawater intrusion; these sampling sites fall within the same areas that show low-resistivity values. The resulting ratios and resistivity values were then used in the geographical information system (GIS) environment to create the geostatistical map of individual indicators. These maps were then overlaid to create the final map showing seawater-affected areas. The final map successfully delineates the area that is actually undergoing seawater intrusion. The proposed technique is not area specific, and hence, it can work in any place with similar completed characteristics or under the influence of multiple contaminants so as to distinguish the area that is truly affected by any targeted pollutants from the rest. This information would provide managers and policy makers with the knowledge of the current situation and will serve as a guide and standard in water research for sustainable management plan.

Matched MeSH terms: Geographic Information Systems
Monitoring and assessment of urban growth patterns using spatio-temporal built-up area analysis

Aburas MM, Ho YM, Ramli MF, Ash'aari ZH

Environ Monit Assess, 2018 Feb 20;190(3):156.
PMID: 29464400 DOI: 10.1007/s10661-018-6522-9

The identification of spatio-temporal patterns of the urban growth phenomenon has become one of the most significant challenges in monitoring and assessing current and future trends of the urban growth issue. Therefore, spatio-temporal and quantitative techniques should be used hand in hand for a deeper understanding of various aspects of urban growth. The main purpose of this study is to monitor and assess the significant patterns of urban growth in Seremban using a spatio-temporal built-up area analysis. The concentric circles approach was used to measure the compactness and dispersion of built-up area by employing Shannon's Entropy method. The spatial directions approach was also utilised to measure the sustainability and speed of development, while the gradient approach was used to measure urban dynamics by employing landscape matrices. The overall results confirm that urban growth in Seremban is dispersed, unbalanced and unsustainable with a rapid speed of regional development. The main contribution of using existing methods with other methods is to provide several spatial and statistical dimensions that can help researchers, decision makers and local authorities understand the trend of growth and its patterns in order to take the appropriate decisions for future urban planning. For example, Shannon's Entropy findings indicate a high value of dispersion between the years 1990 and 2000 and from 2010 to 2016 with a growth rate of approximately 94 and 14%, respectively. Therefore, these results can help and support decision makers to implement alternative urban forms such as the compactness form to achieve an urban form that is more suitable and sustainable. The results of this study confirm the importance of using spatio-temporal built-up area and quantitative analysis to protect the sustainability of land use, as well as to improve the urban planning system via the effective monitoring and assessment of urban growth trends and patterns.

Matched MeSH terms: Geographic Information Systems
Kepentingan sistem maklumat geografi (GIS) dan penderiaan jauh dalam pemeliharaan habitat populasi burung hijrah di hutan paya laut Matang, Perak

Azimah Abd Rahman

Sains Malaysiana, 2015;44:1229-1239.

Kedatangan spesies burung hijrah ke Hutan Paya Laut Matang, Perak merupakan suatu fenomena unik dan amat berpotensi untuk dikomersialkan. Namun begitu sejak sepuluh tahun kebelakangan ini kedatangan spesies burung hijrah ke kawasan ini mencatatkan penurunan yang membimbangkan. Pembangunan di sekitar kawasan Hutan Paya Laut Matang dikenal pasti menjadi faktor utama penurunan ini. Selain itu, pengurusan dan pemantauan terhadap spesies burung hijrah yang tidak bersistematik juga menyumbang kepada permasalahan ini. Kaedah pengurusan dan pemantauan burung hijrah secara konvensional masih diamalkan oleh Jabatan Hidupan Liar dan Taman Negara (PERHILITAN) dalam merekod data dan maklumat yang diperoleh. Oleh itu kajian ini dilakukan dengan memperkenalkan pendekatan teknologi Sistem Maklumat Geografi (GIS) dan Penderiaan Jauh sebagai aplikasi utama yang dapat membantu dalam memperbaiki pengurusan dan pemantauan burung hijrah. Aplikasi GIS digunakan dalam memetakan data parameter kajian yang diperoleh menggunakan perisian yang bersesuaian iaitu ArcGIS 10.1 dan Penderiaan Jauh digunakan untuk memodelkan parameter kajian menggunakan aplikasi dalam perisian ERDAS Imagine 8.5. Sebanyak enam parameter kajian digunakan dalam kajian ini iaitu suhu, taburan hujan, makanan, ketinggian, gunatanah dan liputan tanah. Pemodelan setiap parameter kajian ini membolehkan kesan setiap parameter kajian terhadap taburan burung hijrah dalam suatu kawasan ditunjukkan dalam bentuk pemetaan. Hasil pemodelan ini juga membolehkan parameter yang terpenting dan paling mempengaruhi taburan burung hijrah bagi kawasan Hutan Paya Laut Matang dikenal pasti. Maklumat ini membolehkan DWNP lebih memahami keperluan burung hijrah dalam pemilihan habitat mereka. Selain itu, hasil pemodelan ini membantu DWNP dalam mengatur strategi pelaksanaan program pemeliharaan dan pemuliharaan di kawasan sekitar Hutan Paya Laut Matang bagi memastikan kedatangan spesies burung hijrah secara berterusan.

Matched MeSH terms: Geographic Information Systems
Evaluation of the spatial risk factors for high incidence of dengue fever and dengue hemorrhagic fever using GIS application

Aziz Shafie

Sains Malaysiana, 2011;40:1179-1186.

In Malaysia, the incidence of Dengue Fever (DF) and Dengue Hemorrhagic Fever (DHF) have risen dramatically in the last twenty years. With the use of Geographical Information System an explanation for the spread and control of these diseases can be obtained. This study aims to develop a spatial modeling that can predict the risks for DF and DHF based on environmental factors such as physical surroundings, land use, rainfall, temperature and GIS application using logistic regression. A total of 16 variables were used in the process of spatial modeling development. At the significant level of 0.05, the results of logistic regression showed that only 10 out of 16 significant variables in the modeling process. The accuracy of the resulting model is 70.3%. A crucial feature of this study is a risk area map for incidence of DF and DHF in the study area. This study also highlights the application of spatial analysis in planning and implementing the process for the prevention and control activities of DF and DHF in Malaysia.

Matched MeSH terms: Geographic Information Systems
Fulltext Environmental and socioeconomic impacts of pipeline transport interdiction in Niger Delta, Nigeria

Umar HA, Abdul Khanan MF, Ogbonnaya C, Shiru MS, Ahmad A, Baba AI

Heliyon, 2021 May;7(5):e06999.
PMID: 34027190 DOI: 10.1016/j.heliyon.2021.e06999

Over the years, pipelines have been the most economic medium for transporting crude oil to production and distribution facilities in the Niger Delta area of Nigeria. However, damages to the pipelines in this area by interdiction have hampered the continuous flow of crude oil to the facilities. Consequently, the revenue of the government dwindles, and the environment is severely degraded. This study assesses the economic and environmental impacts of pipeline interdiction in the Niger Delta region. Data from National oil spills detection and response agency, Nigeria is used to map spatial distribution of oil spills using Kernel Density Estimation with Geographic Information System. Literature was assessed to synthesize the historical, socioeconomic, and environmental impacts of oil spills and pipeline interdiction. Soil samples were collected from study area to determine the types of hydrocarbon pollutants and their concentrations in comparison with uncontaminated sites in the area. Results show that the range of concentrations of total petroleum hydrocarbon (TPH) for the impacted soil (IMP) was 17.27-58.36 mg/kg; remediated soil (RS) was 11.73-50.78 mg/kg which were higher than the concentrations of 0.68 mg/kg in the control samples (CS). Polycyclic aromatic hydrocarbons (PAH) concentrations were in the range of 0.43-77.54 mg/kg for IMP, 0.42-10.65 mg/kg for RS, against CS value of 0.49 mg/kg while BTEX ranged between 0.02 - 0.38 mg/kg for IMP, 0.01-2.7 for RS against CS value of 0.01. The values of the PAH were higher than the limits of the Department of Petroleum Resources, Nigeria. This study also revealed that pipeline interdiction has affected the livelihood of the inhabitants of the study area and the revenue of the Nigerian government. The major hotspots for oil spills in the Niger Delta region are Bayelsa, Rivers and Delta states.

Matched MeSH terms: Geographic Information Systems
Mapping the Malaysian Smoking Cessation Clinics: A Geographic Information System-Based Study

Md Bohari NF, Sabri NF, Wan Rasdi WND, Mohd Radzi NA, Bakri NN

Asia Pac J Public Health, 2020 12 24;33(2-3):227-233.
PMID: 33356376 DOI: 10.1177/1010539520982718

Although geographic information system-based studies are particularly increasing in other sectors, few have embraced their full potential in health services allocation in Malaysia. This study aimed to produce a visual map on the distribution of smoking cessation clinics (SCCs) in Malaysia and analyze its pattern against the national population of smokers. SCC addresses were obtained from the government website and mapped using geographic information system tools. A total of 199 and 449 private and public SCCs was mapped throughout the country, respectively. The lowest SCC to smoker population ratio was in the state of Negeri Sembilan with 1:3000. The highest SCC to smoker population ratio was in Sabah with 1 SCC for 15 000 smokers. Almost 70% of SCCs were primary health clinics. Smoking cessation clinics were distributed throughout all the states in Malaysia except the state of Sabah.

Matched MeSH terms: Geographic Information Systems
GIS-based air quality modelling: spatial prediction of PM10 for Selangor State, Malaysia using machine learning algorithms

Tella A, Balogun AL

Environ Sci Pollut Res Int, 2022 Dec;29(57):86109-86125.
PMID: 34533750 DOI: 10.1007/s11356-021-16150-0

Rapid urbanization has caused severe deterioration of air quality globally, leading to increased hospitalization and premature deaths. Therefore, accurate prediction of air quality is crucial for mitigation planning to support urban sustainability and resilience. Although some studies have predicted air pollutants such as particulate matter (PM) using machine learning algorithms (MLAs), there is a paucity of studies on spatial hazard assessment with respect to the air quality index (AQI). Incorporating PM in AQI studies is crucial because of its easily inhalable micro-size which has adverse impacts on ecology, environment, and human health. Accurate and timely prediction of the air quality index can ensure adequate intervention to aid air quality management. Therefore, this study undertakes a spatial hazard assessment of the air quality index using particulate matter with a diameter of 10 μm or lesser (PM10) in Selangor, Malaysia, by developing four machine learning models: eXtreme Gradient Boosting (XGBoost), random forest (RF), K-nearest neighbour (KNN), and Naive Bayes (NB). Spatially processed data such as NDVI, SAVI, BU, LST, Ws, slope, elevation, and road density was used for the modelling. The model was trained with 70% of the dataset, while 30% was used for cross-validation. Results showed that XGBoost has the highest overall accuracy and precision of 0.989 and 0.995, followed by random forest (0.989, 0.993), K-nearest neighbour (0.987, 0.984), and Naive Bayes (0.917, 0.922), respectively. The spatial air quality maps were generated by integrating the geographical information system (GIS) with the four MLAs, which correlated with Malaysia's air pollution index. The maps indicate that air quality in Selangor is satisfactory and posed no threats to health. Nevertheless, the two algorithms with the best performance (XGBoost and RF) indicate that a high percentage of the air quality is moderate. The study concludes that successful air pollution management policies such as green infrastructure practice, improvement of energy efficiency, and restrictions on heavy-duty vehicles can be adopted in Selangor and other Southeast Asian cities to prevent deterioration of air quality in the future.

Matched MeSH terms: Geographic Information Systems
Radio Frequency Identification (RFID) and communication technologies for solid waste bin and truck monitoring system

Hannan MA, Arebey M, Begum RA, Basri H

Waste Manag, 2011 Dec;31(12):2406-13.
PMID: 21871788 DOI: 10.1016/j.wasman.2011.07.022

This paper deals with a system of integration of Radio Frequency Identification (RFID) and communication technologies for solid waste bin and truck monitoring system. RFID, GPS, GPRS and GIS along with camera technologies have been integrated and developed the bin and truck intelligent monitoring system. A new kind of integrated theoretical framework, hardware architecture and interface algorithm has been introduced between the technologies for the successful implementation of the proposed system. In this system, bin and truck database have been developed such a way that the information of bin and truck ID, date and time of waste collection, bin status, amount of waste and bin and truck GPS coordinates etc. are complied and stored for monitoring and management activities. The results showed that the real-time image processing, histogram analysis, waste estimation and other bin information have been displayed in the GUI of the monitoring system. The real-time test and experimental results showed that the performance of the developed system was stable and satisfied the monitoring system with high practicability and validity.

Matched MeSH terms: Geographic Information Systems/economics
Fulltext The Coral Triangle Atlas: an integrated online spatial database system for improving coral reef management

Cros A, Ahamad Fatan N, White A, Teoh SJ, Tan S, Handayani C, et al.

PLoS One, 2014;9(6):e96332.
PMID: 24941442 DOI: 10.1371/journal.pone.0096332

In this paper we describe the construction of an online GIS database system, hosted by WorldFish, which stores bio-physical, ecological and socio-economic data for the 'Coral Triangle Area' in South-east Asia and the Pacific. The database has been built in partnership with all six (Timor-Leste, Malaysia, Indonesia, The Philippines, Solomon Islands and Papua New Guinea) of the Coral Triangle countries, and represents a valuable source of information for natural resource managers at the regional scale. Its utility is demonstrated using biophysical data, data summarising marine habitats, and data describing the extent of marine protected areas in the region.

Matched MeSH terms: Geographic Information Systems
A review on technologies and their usage in solid waste monitoring and management systems: Issues and challenges

Hannan MA, Abdulla Al Mamun M, Hussain A, Basri H, Begum RA

Waste Manag, 2015 Sep;43:509-23.
PMID: 26072186 DOI: 10.1016/j.wasman.2015.05.033

In the backdrop of prompt advancement, information and communication technology (ICT) has become an inevitable part to plan and design of modern solid waste management (SWM) systems. This study presents a critical review of the existing ICTs and their usage in SWM systems to unfold the issues and challenges towards using integrated technologies based system. To plan, monitor, collect and manage solid waste, the ICTs are divided into four categories such as spatial technologies, identification technologies, data acquisition technologies and data communication technologies. The ICT based SWM systems classified in this paper are based on the first three technologies while the forth one is employed by almost every systems. This review may guide the reader about the basics of available ICTs and their application in SWM to facilitate the search for planning and design of a sustainable new system.

Matched MeSH terms: Geographic Information Systems

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